Zigbee api frame protocol of wireless sensor network for water quality detection

Sulistya, Fitria Gani (2017) Zigbee api frame protocol of wireless sensor network for water quality detection. Diploma thesis, Universitas Al Azhar Indonesia.

[img] Text (UAI) - Published Version
Available under License Creative Commons Attribution Non-commercial.

Download (0B)
Official URL: http://perpustakaan.uai.ac.id/index.php/cari/detai...

Abstract

Wireless sensor network is a type of wireless data communication that allows us to detect relevant quantities, monitor and collect data and make various user displays. WSN needs packet data transmission system that are compatible to sense and send it data. On the development of technology now all configuration headed to the Internet of Things. All this development covers all aspects of life, the environment was no exception. For example is system environment on the detection of water quality because the water is the essential needs of human life. The sensor testing that has been tested to see how the sensor work and get the relative error of the sensor. There are two testing of sensor. The result are, for pH sensor testing get the difference value 0.16 with the compared tool and for turbidity sensor testing get the error 22.17%. But, in this research the both of sensor can be said work well. This research using ZigBee Receive packet frame type for its communication. For this research data transmission will assuming between router to router before the data sending to coordinator in the distance maximum 60 meters for indoor and outdoor test. Percentage of success in the data delivery reach 99% success either in indoor experiment or outdoor experiment with adding one router as repeater between coordinator and other router.

Item Type: Thesis (Diploma)
Additional Information: Identifier : EL 17 001 Language : Inggris Copyright : Attribution 4.0. International
Subjects: 000 Computer science, information & general works > 000 Computer Science, Information, General Works > 004 Data Processing, Computer Science
Library of Congress Subject Areas > Skripsi
Library of Congress Subject Areas > Skripsi

Library of Congress Subject Areas > Water--Pollution--Detectors
Library of Congress Subject Areas > Water--Pollution--Detectors

Library of Congress Subject Areas > Electrical engineering
Divisions: Universitas Al-Azhar Indonesia (UAI) > Fakultas Sains dan Teknologi (FST) > Teknik Elektro
Depositing User: Rahman Pujianto
Date Deposited: 19 Jul 2018 05:00
Last Modified: 30 Apr 2020 14:51
URI: http://eprints.uai.ac.id/id/eprint/480

Actions (login required)

View Item View Item